panda3d.direct.DCClass¶
from panda3d.direct import DCClass
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class
DCClass¶ Bases:
DCDeclarationDefines a particular DistributedClass as read from an input .dc file.
Inheritance diagram
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getName() → str¶ Returns the name of this class.
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getNumber() → int¶ Returns a unique index number associated with this class. This is defined implicitly when the .dc file(s) are read.
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getNumParents() → int¶ Returns the number of base classes this class inherits from.
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getParent(n: int) → DCClass¶ Returns the nth parent class this class inherits from.
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hasConstructor() → bool¶ Returns true if this class has a constructor method, false if it just uses the default constructor.
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getConstructor() → DCField¶ Returns the constructor method for this class if it is defined, or NULL if the class uses the default constructor.
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getNumFields() → int¶ Returns the number of fields defined directly in this class, ignoring inheritance.
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getField(n: int) → DCField¶ Returns the nth field in the class. This is not necessarily the field with index n; this is the nth field defined in the class directly, ignoring inheritance.
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getFieldByName(name: str) → DCField¶ Returns a pointer to the DCField that shares the indicated name. If the named field is not found in the current class, the parent classes will be searched, so the value returned may not actually be a field within this class. Returns NULL if there is no such field defined.
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getFieldByIndex(index_number: int) → DCField¶ Returns a pointer to the DCField that has the indicated index number. If the numbered field is not found in the current class, the parent classes will be searched, so the value returned may not actually be a field within this class. Returns NULL if there is no such field defined.
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getNumInheritedFields() → int¶ Returns the total number of field fields defined in this class and all ancestor classes.
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getInheritedField(n: int) → DCField¶ Returns the nth field field in the class and all of its ancestors.
This used to be the same thing as
getFieldByIndex(), back when the fields were numbered sequentially within a class’s inheritance hierarchy. Now that fields have a globally unique index number, this is no longer true.- Return type
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isStruct() → bool¶ Returns true if the class has been identified with the “struct” keyword in the dc file, false if it was declared with “dclass”.
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isBogusClass() → bool¶ Returns true if the class has been flagged as a bogus class. This is set for classes that are generated by the parser as placeholder for missing classes, as when reading a partial file; it should not occur in a normal valid dc file.
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inheritsFromBogusClass() → bool¶ Returns true if this class, or any class in the inheritance heirarchy for this class, is a “bogus” class–a forward reference to an as-yet-undefined class.
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startGenerate() → None¶ Starts the PStats timer going on the “generate” task, that is, marks the beginning of the process of generating a new object, for the purposes of timing this process.
This should balance with a corresponding call to
stopGenerate().
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stopGenerate() → None¶ Stops the PStats timer on the “generate” task. This should balance with a preceding call to
startGenerate().
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output(out: ostream) → None¶ Write a string representation of this instance to <out>.
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hasClassDef() → bool¶ Returns true if the DCClass object has an associated Python class definition, false otherwise.
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setClassDef(class_def: object) → None¶ Sets the class object associated with this DistributedClass. This object will be used to construct new instances of the class.
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getClassDef() → object¶ Returns the class object that was previously associated with this DistributedClass. This will return a new reference to the object.
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hasOwnerClassDef() → bool¶ Returns true if the DCClass object has an associated Python owner class definition, false otherwise.
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setOwnerClassDef(owner_class_def: object) → None¶ Sets the owner class object associated with this DistributedClass. This object will be used to construct new owner instances of the class.
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getOwnerClassDef() → object¶ Returns the owner class object that was previously associated with this DistributedClass. This will return a new reference to the object.
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receiveUpdate(distobj: object, di: DatagramIterator) → None¶ Extracts the update message out of the packer and applies it to the indicated object by calling the appropriate method.
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receiveUpdateBroadcastRequired(distobj: object, di: DatagramIterator) → None¶ Processes a big datagram that includes all of the “required” fields that are sent along with a normal “generate with required” message. This is all of the atomic fields that are marked “broadcast required”.
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receiveUpdateBroadcastRequiredOwner(distobj: object, di: DatagramIterator) → None¶ Processes a big datagram that includes all of the “required” fields that are sent along with a normal “generate with required” message. This is all of the atomic fields that are marked “broadcast ownrecv”. Should be used for ‘owner-view’ objects.
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receiveUpdateAllRequired(distobj: object, di: DatagramIterator) → None¶ Processes a big datagram that includes all of the “required” fields that are sent when an avatar is created. This is all of the atomic fields that are marked “required”, whether they are broadcast or not.
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receiveUpdateOther(distobj: object, di: DatagramIterator) → None¶ Processes a datagram that lists some additional fields that are broadcast in one chunk.
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directUpdate(distobj: object, field_name: str, datagram: Datagram) → None¶ Processes an update for a named field from a packed datagram.
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directUpdate(distobj: object, field_name: str, value_blob: bytes) → None Processes an update for a named field from a packed value blob.
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packRequiredField(packer: DCPacker, distobj: object, field: DCField) → bool¶ Looks up the current value of the indicated field by calling the appropriate get*() function, then packs that value into the packer. This field is presumably either a required field or a specified optional field, and we are building up a datagram for the generate-with-required message.
Returns true on success, false on failure.
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packRequiredField(datagram: Datagram, distobj: object, field: DCField) → bool Looks up the current value of the indicated field by calling the appropriate get*() function, then packs that value into the datagram. This field is presumably either a required field or a specified optional field, and we are building up a datagram for the generate-with-required message.
Returns true on success, false on failure.
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clientFormatUpdate(field_name: str, do_id: DOID_TYPE, args: object) → Datagram¶ Generates a datagram containing the message necessary to send an update for the indicated distributed object from the client.
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aiFormatUpdate(field_name: str, do_id: DOID_TYPE, to_id: CHANNEL_TYPE, from_id: CHANNEL_TYPE, args: object) → Datagram¶ Generates a datagram containing the message necessary to send an update for the indicated distributed object from the AI.
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aiFormatUpdateMsgType(field_name: str, do_id: DOID_TYPE, to_id: CHANNEL_TYPE, from_id: CHANNEL_TYPE, msg_type: int, args: object) → Datagram¶ Generates a datagram containing the message necessary to send an update, using the indicated msg type for the indicated distributed object from the AI.
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aiFormatGenerate(distobj: object, do_id: DOID_TYPE, parent_id: ZONEID_TYPE, zone_id: ZONEID_TYPE, district_channel_id: CHANNEL_TYPE, from_channel_id: CHANNEL_TYPE, optional_fields: object) → Datagram¶ - Return type
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clientFormatGenerateCMU(distobj: object, do_id: DOID_TYPE, zone_id: ZONEID_TYPE, optional_fields: object) → Datagram¶ Generates a datagram containing the message necessary to generate a new distributed object from the client. This requires querying the object for the initial value of its required fields.
optional_fields is a list of fieldNames to generate in addition to the normal required fields.
This method is only called by the CMU implementation.
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